The widespread applications of machine learning (ML) to problems of practical interest have fueled interest in machine learning using quantum platforms [1]}, [2]}, [3]}. Though many potential applications of quantum ML have been proposed, so far the prospect for quantum advantage in solving purely classical problems remains unclear [4]}, [5]}, [6]}, [7]}. On the other hand, it seems plausible that quantum ML can be fruitfully applied to problems faced by quantum scientists, such as characterizing the properties of quantum systems and predicting the outcomes of quantum experiments [8]}, [9]}, [10]}, [11]}, [12]}, [13]}.
